Pioneering AI Innovation with DeepAI

DeepCORE is our flagship generative artificial intelligence model developed by DeepAI.tn Generative Solutions. It is a high-end AI model that excels in creating various forms of content, including text, video, images, and more. Similar to renowned models like ChatGPT, DALL-E, and Bard, DeepCORE leverages cutting-edge techniques to generate text or images based on user prompts or dialogue.

DeepCORE is a Deep Learning model composed of algorithms that can recognize patterns in data and can also learn through examples. As such, it is considered an artificial neural network with long-term memory.

It evaluates and processes all the data it receives in order to fill information gaps.

DeepCORE is able to generate entire texts by starting with a single sentence and then completing the rest of the writing. To do this, it processes billions of parameters.

The model can translate texts into other languages and adapt them to different writing styles, such as newspaper articles, fiction novels, etc. It can also write poetry or give us the best answer to any question we ask. It can also write poetry or give us the best answer to any question we ask.

In short, DeepCORE can adapt to anything structured as a language: it can answer questions, write essays, summarize long texts, translate, take notes and even write computer code.

Thanks to recent state-of-the-art NLP models based on transformers, zero-shot learning has gained much popularity in the NLP world. The idea is that a model can now recognize certain classes, even if it has not been trained to do so.

This is what human beings do naturally. For example, if your child knows what a camel is, just tell him that there is another animal called a dromedary, which is very similar to a camel, except that it has 1 hump on its back instead of 2! The next time your child sees a picture of a camel, he or she will know what it is even though it’s the first time they’ve seen one.

If the DeepCORE model does not know a piece of information, it is able to learn it from the user. This technique (Zero Shot, Few shots).